Lee Weinstein
7 Papers
869 Citations
Lee Weinstein is an academic researcher. The author has contributed to research in topics: Credit card & Call control. The author has an hindex of 6, co-authored 7 publications.
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Papers
Patent
Multi-party conversation analyzer & logger
Jay Gainsboro,Lee Weinstein +1 more
- 06 Jan 2015
TL;DR: In this paper, a speech-to-text conversion of phone numbers spoken within a predetermined time of detecting data indicative of a three-way call event while monitoring a phone call from a prison inmate.
499
Patent
Method and apparatus for optical odometry
Kenneth Sinclair,Pace Willisson,Jay Gainsboro,Lee Weinstein +3 more
- 24 Feb 2004
TL;DR: In this paper, a method and apparatus for optical odometry are disclosed which inexpensively facilitate diverse applications including indoor/outdoor vehicle tracking in secure areas, industrial and home robot navigation, automated steering and navigation of autonomous farm vehicles, shopping cart navigation and tracking, and automotive anti-lock braking systems.
164
Patent
Method and apparatus for biometrically secured encrypted data storage and retrieval
Jonathan E. Ramaci,Lee Weinstein,Kenneth Sinclair +2 more
- 18 May 2007
TL;DR: An electronic wallet which is biometrically secured stores credit card and other information as mentioned in this paper, and a biometric sensor prevents the electronic wallet from being used by the user who does not have permission to use the wallet.
110
Patent
Object detection system
Kenneth Sinclair,Jay Gainsboro,Lee Weinstein +2 more
- 19 Apr 2004
TL;DR: An object detection system utilizing one or more thin, planar structured light patterns projected into a volume of interest, along with digital processing hardware and one or multiple electronic imagers looking into the volume is described in this article.
62
Patent
Identical conversation detection method and apparatus
Jay Gainsboro,Ken Sinclair,Lee Weinstein +2 more
- 26 Jan 2015
TL;DR: In this paper, an automated system is disclosed for detecting situations in which identical segments of conversation appear within two different recordings. The system automatically detects where within each of two audio recordings an identical conversation segment begins and ends, thus enabling detection of conversations where multiple prison inmates participated in a conference call.
19